123 research outputs found

    A Smart Kitchen for Ambient Assisted Living

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    The kitchen environment is one of the scenarios in the home where users can benefit from Ambient Assisted Living (AAL) applications. Moreover, it is the place where old people suffer from most domestic injuries. This paper presents a novel design, implementation and assessment of a Smart Kitchen which provides Ambient Assisted Living services; a smart environment that increases elderly and disabled people’s autonomy in their kitchen-related activities through context and user awareness, appropriate user interaction and artificial intelligence. It is based on a modular architecture which integrates a wide variety of home technology (household appliances, sensors, user interfaces, etc.) and associated communication standards and media (power line, radio frequency, infrared and cabled). Its software architecture is based on the Open Services Gateway initiative (OSGi), which allows building a complex system composed of small modules, each one providing the specific functionalities required, and can be easily scaled to meet our needs. The system has been evaluated by a large number of real users (63) and carers (31) in two living labs in Spain and UK. Results show a large potential of system functionalities combined with good usability and physical, sensory and cognitive accessibility

    A web-based platform for people with memory problems and their caregivers (CAREGIVERSPRO-MMD): Mixed-methods evaluation of usability

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    Background: The increasing number of people with dementia (PwD) drives research exploring Web-based support interventions to provide effective care for larger populations. In this concept, a Web-based platform (CAREGIVERSPRO-MMD, 620911) was designed to (1) improve the quality of life for PwD, (2) reduce caregiver burden, (3) reduce the financial costs for care, and (4) reduce administration time for health and social care professionals. Objective: The objective of this study was to evaluate the usability and usefulness of CAREGIVERSPRO-MMD platform for PwD or mild cognitive impairment (MCI), informal caregivers, and health and social care professionals with respect to a wider strategy followed by the project to enhance the user-centered approach. A secondary aim of the study was to collect recommendations to improve the platform before the future pilot study. Methods: A mixed methods design was employed for recruiting PwD or MCI (N=24), informal caregivers (N=24), and professionals (N=10). Participants were asked to rate their satisfaction, the perceived usefulness, and ease of use of each function of the platform. Qualitative questions about the improvement of the platform were asked when participants provided low scores for a function. Testing occurred at baseline and 1 week after participants used the platform. The dropout rate from baseline to the follow-up was approximately 10% (6/58). Results: After 1 week of platform use, the system was useful for 90% (20.75/23) of the caregivers and for 89% (5.36/6) of the professionals. When users responded to more than 1 question per platform function, the mean of satisfied users per function was calculated. These user groups also provided positive evaluations for the ease of use (caregivers: 82%, 18.75/23; professionals: 97%, 5.82/6) and their satisfaction with the platform (caregivers: 79%, 18.08/23; professionals: 73%, 4.36/6). Ratings from PwD were lower than the other groups for usefulness (57%, 13/23), ease of use (41%, 9.4/23), and overall satisfaction (47%, 11/23) with the platform (

    Proceedings

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    Ambient intelligence:a narrative in search of users (discussion paper)

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    The vision of Ambient Intelligence (AmI) was first developed in the late 1990s. It describes new worlds, economies and paradigms that emphasize the centrality of human experience, however, distinguished from related visions such as ubiquitous and pervasive computing. A key feature of the AmI vision are the seamless intelligent environments and gadgets, capable of anticipating people’s needs and motivations, and acting autonomously on their behalf. So what can be gleaned from exploring the conditions under which this innovation domain evolves over time and how it adapts to various criticisms and technical challenges? The AmI vision not only represents possible futures but actively creates the worlds in which AmI applications appear to be possible. Visionaries and research leaders build expectations, marshal resources and align key stakeholders. Promises and progressions toward realizing AmI have performative and generative features but the original promise of intelligence has largely failed. This outcome points to a two-sided problem. The definitional looseness of intelligence is permissive of what can be expected of the role and scope of artificial reasoning in AmI interaction paradigms, while ordinary human reasoning and knowing what people actually want and need remains persistently elusive. Grappling still with the problem of what the intelligence in Ambient Intelligence can stand for, research and development has shifted its focus toward the design of practical win-win solutions, coined synergetic prosperity

    A Systematic Review of the Literature on Living Labs in Higher Education Institutions:Potentials and Constraints

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    Living labs (LLs) have emerged as an interface for higher education institutions to collaborate with companies, citizens, non-profit and government organizations to address a variety of problems around social challenges and sustainable development. In this systematic literature review, we summarize the existing knowledge on how universities shape and manage the LLs they are associated with and how they align with their core missions of education and research and—in particular—their social missions. Following PRISMA guidelines for a systematic literature review (SLR), we analyzed journal articles, conference papers, and book chapters published between 2008 and 2020, capturing 93 university-governed LL experiences from across the world. Our findings show that LLs are developing from bottom-up initiatives, often at the fringe of higher education institutions, towards more self-standing entities implementing strategies to undertake social outreach activities. LLs require their host universities to intensify the relationships with their stakeholders and work on capacity building and focus on inter- and transdisciplinary research methodologies. Finally, our literature review points to the need for further research on the hybrid governance approaches displayed by LLs, particularly looking at the roles and responsibilities of academics involved in managing LL initiatives

    3-Dimensional Building Details from Aerial Photography for Internet Maps

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    This paper introduces the automated characterization of real estate (real property) for Internet mapping. It proposes a processing framework to achieve this task from vertical aerial photography and associated property information. A demonstration of the feasibility of an automated solution builds on test data from the Austrian City of Graz. Information is extracted from vertical aerial photography and various data products derived from that photography in the form of a true orthophoto, a dense digital surface model and digital terrain model, and a classification of land cover. Maps of cadastral property boundaries aid in defining real properties. Our goal is to develop a table for each property with descriptive numbers about the buildings, their dimensions, number of floors, number of windows, roof shapes, impervious surfaces, garages, sheds, vegetation, presence of a basement floor, and other descriptors of interest for each and every property of a city. From aerial sources, at a pixel size of 10 cm, we show that we have obtained positional accuracies in the range of a single pixel, an accuracy of areas in the 10% range, floor counts at an accuracy of 93% and window counts at 86% accuracy. We also introduce 3D point clouds of facades and their creation from vertical aerial photography, and how these point clouds can support the definition of complex facades

    Proceedings of the 2012 Workshop on Ambient Intelligence Infrastructures (WAmIi)

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    This is a technical report including the papers presented at the Workshop on Ambient Intelligence Infrastructures (WAmIi) that took place in conjunction with the International Joint Conference on Ambient Intelligence (AmI) in Pisa, Italy on November 13, 2012. The motivation for organizing the workshop was the wish to learn from past experience on Ambient Intelligence systems, and in particular, on the lessons learned on the system architecture of such systems. A significant number of European projects and other research have been performed, often with the goal of developing AmI technology to showcase AmI scenarios. We believe that for AmI to become further successfully accepted the system architecture is essential

    Proceedings of the 2012 Workshop on Ambient Intelligence Infrastructures (WAmIi)

    Get PDF
    This is a technical report including the papers presented at the Workshop on Ambient Intelligence Infrastructures (WAmIi) that took place in conjunction with the International Joint Conference on Ambient Intelligence (AmI) in Pisa, Italy on November 13, 2012. The motivation for organizing the workshop was the wish to learn from past experience on Ambient Intelligence systems, and in particular, on the lessons learned on the system architecture of such systems. A significant number of European projects and other research have been performed, often with the goal of developing AmI technology to showcase AmI scenarios. We believe that for AmI to become further successfully accepted the system architecture is essential

    A Multi-Resident Number Estimation Method for Smart Homes

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    Population aging requires innovative solutions to increase the quality of life and preserve autonomous and independent living at home. A need of particular significance is the identification of behavioral drifts. A relevant behavioral drift concerns sociality: older people tend to isolate themselves. There is therefore the need to find methodologies to identify if, when, and how long the person is in the company of other people (possibly, also considering the number). The challenge is to address this task in poorly sensorized apartments, with non-intrusive sensors that are typically wireless and can only provide local and simple information. The proposed method addresses technological issues, such as PIR (Passive InfraRed) blind times, topological issues, such as sensor interference due to the inability to separate detection areas, and algorithmic issues. The house is modeled as a graph to constrain transitions between adjacent rooms. Each room is associated with a set of values, for each identified person. These values decay over time and represent the probability that each person is still in the room. Because the used sensors cannot determine the number of people, the approach is based on a multi-branch inference that, over time, differentiates the movements in the apartment and estimates the number of people. The proposed algorithm has been validated with real data obtaining an accuracy of 86.8%
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